A realistic open-data-based cost model for wireless backhaul networks in rural areas
Visualitza/Obre
10.23919/CNSM55787.2022.9964562
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/380738
Tipus de documentText en actes de congrés
Data publicació2022
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
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ProjecteSISTEMAS INFORMATICOS Y DE RED DESCENTRALIZADOS CON RECURSOS DISTRIBUIDOS (AEI-PID2019-106774RB-C21)
Abstract
Broadband Internet provision is an increasing demand in many rural areas and wireless internet service providers have emerged as an opportunity to fill this need. However, this type of operator typically consists of a small business with little resources, and difficulty to plan and assess a reliable and economically sustainable infrastructure. In this paper, we try to bring some aid to this challenging problem by describing a reliable mesh-based backhaul design, together with a detailed CapEx/OpEx economic assessment. We apply our model using real data from ten Italian rural municipalities. Our numerical results show that having clusters of 200 subscribers, a reliable backhaul could be deployed with a monthly subscription and price per Mb/s extremely competitive compared to existing market offers.
CitacióGemmi, G.; Cerdà, L.; Maccari, L. A realistic open-data-based cost model for wireless backhaul networks in rural areas. A: International Conference on Network and Service Management. "Proceedings of the 2022 18th International Conference of Network and Service Management, CNSM 2022: 31 October-4 November 2022: Intelligent management of disruptive network technologies and services". Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 55-63. ISBN 978-3-903176-51-5. DOI 10.23919/CNSM55787.2022.9964562.
ISBN978-3-903176-51-5
Versió de l'editorhttps://ieeexplore.ieee.org/document/9964562
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